AI Chatbot Platform

AI Meeting Summarizer / Note Generator

Automate meeting notes with Whisper & GPT. Transform long meetings into clear, concise, and human-like summaries with 90%+ time savings.

OpenAI WhisperGPT-4Python90%+ Time Savings

Project Overview

This project automates the transformation of long meetings into clear, concise, and human-like summaries. It uses Whisper, OpenAI's automatic speech recognition (ASR) model, to convert meeting audio into text, and then leverages large language models to generate polished notes, bullet points, and executive summaries. The final output reads as if written by a human, suitable for reports, standups, and stakeholder updates.

How It Works

Audio Input
Accepts meeting recordings from various sources (Zoom, Google Meet, phone, etc.).
Transcription with Whisper
Converts audio to accurate text using OpenAI Whisper ASR technology.
Transcript Cleaning
Removes timestamps, filler words, and irrelevant noise for clarity.
Prompt Engineering
Injects the cleaned transcript into a custom prompt for optimal summarization.
Summarization with GPT
Generates human-like summaries, bullet points, and executive notes using GPT-4.
Post-Processing
Polishes tone, applies formatting, and redacts sensitive information as needed.
Final Output
Delivers ready-to-use summaries for meetings, emails, and documentation.

Key Features

End-to-End Automation
Seamlessly transforms audio into polished summaries with minimal manual intervention.
High-Accuracy Transcription
Whisper ASR ensures reliable results even with accents or background noise.
Flexible Input Support
Works with audio, video, or pre-existing transcripts in multiple formats.
Human-Like Summaries
Produces notes and bullet points that read naturally and professionally.
Long-Form Content Handling
Efficiently processes recordings up to 1–2 hours in length.
Export-Ready Output
Easily integrates with emails, reports, and dashboards.

Impacts & Results

  • Eliminated need for manual transcription and note-taking
  • Reduced meeting summarization effort by 90%+
  • Improved accessibility and documentation of spoken discussions
  • Enhanced productivity by freeing up team bandwidth post-meetings
  • Demonstrated powerful integration of ASR + LLMs in real-world workflows
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